Add INT4 quant/de-quant kernels #620
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Add Perf Kernels This is a combination of 2 commits. Add Perf Kernels Add Perf Kernels This is a combination of 6 commits. add perf-kernels fix formating issues fix unused variables and other bugs fix other issues remove scripts save check changes format save save try pre-commit check save
Change all block pointers to tensor pointers Block pointers are for nvidia TMAs. They are useful for regular loads as well but not well supported. Also cleaned up some code I came across along the way and updated comment at the top.
Add support for layouts commonly used by users. Add option for varlen / thd layout to specify equal context lengths for all batches. Also often used by users.
* remove on push for Integration Tests * rename * add post merge test * save * dtype params * skip bad config * fix more stuff
Increase CI timeout
Couple of FA optimizations Set SM scale multiplication to a constexpr. Minor asm improvement. Changed acc scaling to adjust for softmax division to multiplication with reciprocal. ~10% perf improvement. --------- Co-authored-by: Michael Melesse <[email protected]>
vgokhale
reviewed
Jul 29, 2024
| tl.store(x_out_dequant_ptr + offset, dequant, mask=mask) | ||
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| if __name__ == '__main__': |
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Can you add a few test cases instead of this? Check the flash-attention.py to see how we use pytest.
vgokhale
reviewed
Jul 29, 2024
| tl.store(x_out_quant_ptr + offset, x_quant, mask=mask) | ||
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| if __name__ == '__main__': |
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